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Dataset Information

Sociodemographic structure and health care-related outcomes of community-dwelling dementia caregiving dyads: a latent class replication study.


ABSTRACT:

Background

The identification of dyadic subgroups of individuals living with dementia and their informal caregivers can help to design effective tailored support. In a previous German study, we identified six dementia dyad subgroups by applying Latent Class Analysis (LCA). Results showed sociodemographic heterogeneity as well as differences in health care outcomes (i.e., quality of life, health status, caregiver burden) between subgroups. The objective of this study is to determine if the dyad subgroups from the previous analysis can be replicated in a similar but distinct Dutch sample.

Methods

A LCA 3-step procedure was applied to baseline data from the COMPAS study, a prospective cohort study. LCA is a statistical approach used to identify heterogeneous subgroups within po

SUBMITTER: Wiegelmann H 

PROVIDER: S-EPMC10182645 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature